2 citations · 2 across the 6 of their papers we have counts for
6 papers
AwesomeLit: Towards Hypothesis Generation with Agent-Supported Literature Research
Zefei Xie, Yuhan Guo, Kai Xu
There are different goals for literature research, from understanding an unfamiliar topic to generate hypothesis for the next research project. The nature of literature research al…
PromptMap: Supporting Exploratory Text-to-Image Generation
Yuhan Guo, Xingyou Liu, Xiaoru Yuan +1
Text-to-image generative models can be tremendously valuable in supporting creative tasks by providing inspirations and enabling quick exploration of different design ideas. Howeve…
A Scoping Review of Mixed Initiative Visual Analytics in the Automation Renaissance
Shayan Monadjemi, Yuhan Guo, Kai Xu +2
Artificial agents are increasingly integrated into data analysis workflows, carrying out tasks that were primarily done by humans. Our research explores how the introduction of aut…
VisTaxa: Developing a Taxonomy of Historical Visualizations
Yu Zhang, Xinyue Chen, Weili Zheng +4
Historical visualizations are a rich resource for visualization research. While taxonomy is commonly used to structure and understand the design space of visualizations, existing t…
Breathing New Life into Existing Visualizations: A Natural Language-Driven Manipulation Framework
Can Liu, Jiacheng Yu, Yuhan Guo +3
We propose an approach to manipulate existing interactive visualizations to answer users' natural language queries. We analyze the natural language tasks and propose a design space…
PrompTHis: Visualizing the Process and Influence of Prompt Editing during Text-to-Image Creation
Yuhan Guo, Hanning Shao, Can Liu +2
Generative text-to-image models, which allow users to create appealing images through a text prompt, have seen a dramatic increase in popularity in recent years. However, most user…